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Research on Decoupling Control in Temperature and Humidity Control Systems

Abstract : Temperature and humidity are two highly coupled variables in a control system, which need to be decoupled for effective control. Moreover, the coupling problem may get more severe and the two control loops may produce a strong interference to each other that can cause system instability when the humidity is measured by dry-and-wet bulb method. In this study, a control method based on fuzzy-neural-network was studied for solving the coupling problem. The shape of membership function can be adjusted in time by using a wavelet basis as the fuzzy membership function. An effective real-time decoupling control system for temperature and humidity could be realized by neural network fuzzy inference. Decoupling control tests were conducted in a control room with 1.6 m × 1.0 m × 4.0 m. The results show that the performance of the control system on dynamic response speed, stability, and anti-jamming have been improved after decoupling.
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Weiming Cai, Songming Zhu, Huinong He, Zhangying Ye, Fang Zhu. Research on Decoupling Control in Temperature and Humidity Control Systems. 5th Computer and Computing Technologies in Agriculture (CCTA), Oct 2011, Beijing, China. pp.79-89, ⟨10.1007/978-3-642-27281-3_11⟩. ⟨hal-01351795⟩

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